Measuring living standards with proxy variables
By M. Montgomery, M. Gragnolati, Kathleen Burke, E. Paredes. 2011
561 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Gender Studies, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Akhter Ali
- José Miguel Hernández-Lobato
- D. Filmer
- Bernhard Schölkopf
- K. Mottaleb
- L. Pritchett
- Dil Rahut
- Eric A. Hanushek
In Gender Studies
In Sociology and Political Science
- L. Pritchett
- D. Filmer
- Bernhard Schölkopf
- Joanna Härmä
- Sunil Kumar
- Stephan Klasen
- Jean-François Trani
- Mitchell Loeb
Citations in the corpus
- Deconfounding Reinforcement Learning in Observational Settings (2018, background): “A common practice is then to leverage observed proxy variables that contain information about the unobserved confounders (Angrist and Pischke, 2008; Maddala and Lahiri, 1992; Montgomery et al., 2000; Schölkopf et al., 2016).”
- Wealth, education and cooking-fuel choices among rural households in Pakistan (2019, background): “The straightforward and simple approach would be to add different durable asset variables and create a uni-dimensional assets index [80], but the downside of this approach is that it provides equal weight to all assets.”
- Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India* (2001, methodology): “Second, unlike Montgomery et al. (2000), we are not creating an asset index as a proxy for current consumption expenditures.”